Xiaoying Tang - RankMe

78 papers A* 12A 1Journal 49Unranked 16

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Algorithm Aversion-Aware Optimization of Integrated Electricity Charging and Hydrogen Refueling Pricing. IEEE Internet Things J. Jiwei Zhang, Chenxi Sun, Jie Liu, Lianmin Zhang, Xiaoying Tang
2026	J	`jnl`	Integrating Multiple Reserves in Unit Commitment Problem: A Hybrid Optimization Approach. IEEE Trans. Ind. Informatics Huanxin Liao, Shuyi Wang, Yan Bai, Chao Yang, Wenxuan Liu, Xiaoying Tang, Junhua Zhao, Zhao Yang Dong
2025	J	`jnl`	Balancing the trade-off between global and personalized performance in federated learning. Inf. Sci. Zibin Pan, Chi Li, Fangchen Yu, Shuyi Wang, Xiaoying Tang, Junhua Zhao
2025	J	`jnl`	CLEANet: Robust and Efficient Anomaly Detection in Contaminated Multivariate Time Series. CoRR Songhan Zhang, Yuanhao Lai, Pengfei Zheng, Boxi Yu, Xiaoying Tang, Qiuai Fu, Pinjia He
2025	J	`jnl`	Camouflaged Variational Graph AutoEncoder Against Attribute Inference Attacks for Cross-Domain Recommendation. IEEE Trans. Knowl. Data Eng. Yudi Xiong, Yongxin Guo, Weike Pan, Qiang Yang, Zhong Ming, Xiaojin Zhang, Han Yu, Tao Lin, Xiaoying Tang
2025	J	`jnl`	Constraint first, shrinking next: A hybrid photovoltaic generation forecasting framework based on ensemble learning and multi-strategy improved optimizer. Comput. Ind. Eng. Jionghao Zhu, Jie Liu, Xiaoying Tang
2025	J	`jnl`	DiOpt: Self-supervised Diffusion for Constrained Optimization. CoRR Shutong Ding, Yimiao Zhou, Ke Hu, Xi Yao, Junchi Yan, Xiaoying Tang, Ye Shi
2025	J	`jnl`	DynaCausal: Dynamic Causality-Aware Root Cause Analysis for Distributed Microservices. CoRR Songhan Zhang, Aoyang Fang, Yifan Yang, Ruiyi Cheng, Xiaoying Tang, Pinjia He
2025	A*	`conf`	Dynamic Mixture of Experts: An Auto-Tuning Approach for Efficient Transformer Models. ICLR Yongxin Guo, Zhenglin Cheng, Xiaoying Tang, Zhaopeng Tu, Tao Lin
2025	J	`jnl`	Enhanced Federated Optimization: Adaptive Unbiased Client Sampling with Reduced Variance. Trans. Mach. Learn. Res. Dun Zeng, Zenglin Xu, Yu Pan, Xu Luo, Qifan Wang, Xiaoying Tang
2025	A*	`conf`	Enhancing Clustered Federated Learning: Integration of Strategies and Improved Methodologies. ICLR Yongxin Guo, Xiaoying Tang, Tao Lin
2025	A*	`conf`	Federated Unlearning with Gradient Descent and Conflict Mitigation. AAAI Zibin Pan, Zhichao Wang, Chi Li, Kaiyan Zheng, Boqi Wang, Xiaoying Tang, Junhua Zhao
2025	J	`jnl`	G CoRR Yongxin Guo, Wenbo Deng, Zhenglin Cheng, Xiaoying Tang
2025	J	`jnl`	Hierarchical Energy Management and Charging Scheduling in the PV-CS-EV Integrated System. IEEE Internet Things J. Jie Liu, Jionghao Zhu, Quanxue Guan, Yuan Luo, Xiaoying Tang
2025	J	`jnl`	Incorporating Bounded Rationality Into Electric Vehicle Highway Charging Decisions: A Bayesian Game Analysis. IEEE Internet Things J. Huanyu Yan, Xiaoying Tang
2025	J	`jnl`	Incorporating Credit Mechanism for Joint Pricing and Charging Optimization for an Electric Taxi Charging System. IEEE Trans. Veh. Technol. Jiwei Zhang, Chenxi Sun, Xiaoying Tang
2025	—	`conf`	Let AI Read First: Enhancing Reading Abilities for Individuals with Dyslexia through Artificial Intelligence. CHI Extended Abstracts Sihang Zhao, Shoucong Carol Xiong, Bo Pang, Xiaoying Tang, Pinjia He
2025	J	`jnl`	Let AI Read First: Enhancing Reading Abilities for Individuals with Dyslexia through Artificial Intelligence. CoRR Sihang Zhao, Shoucong Carol Xiong, Bo Pang, Xiaoying Tang, Pinjia He
2025	A*	`conf`	NLPrompt: Noise-Label Prompt Learning for Vision-Language Models. CVPR Bikang Pan, Qun Li, Xiaoying Tang, Wei Huang, Zhen Fang, Feng Liu, Jingya Wang, Jingyi Yu, Ye Shi
2025	A	`conf`	On the Power of Adaptive Weighted Aggregation in Heterogeneous Federated Learning and Beyond. AISTATS Dun Zeng, Zenglin Xu, Shiyu Liu, Yu Pan, Qifan Wang, Xiaoying Tang
2025	J	`jnl`	Personalized Federated Management and Load Balancing for Multiple Charging Stations. IEEE Trans. Ind. Informatics Jie Liu, Yongxin Guo, Xi Leng, Xiaoying Tang
2025	J	`jnl`	Real-Time Optimal Charging Strategy for Battery Swapping Stations Under Time-of-Use Pricing. IEEE Trans. Netw. Sci. Eng. Huanyu Yan, Chenxi Sun, Huanxin Liao, Xiaoying Tang
2025	A*	`conf`	TRACE: Temporal Grounding Video LLM via Causal Event Modeling. ICLR Yongxin Guo, Jingyu Liu, Mingda Li, Qingbin Liu, Xi Chen, Xiaoying Tang
2025	J	`jnl`	Towards Understanding Performance Bugs in Popular Data Science Libraries. Proc. ACM Softw. Eng. Haowen Yang, Zhengda Li, Zhiqing Zhong, Xiaoying Tang, Pinjia He
2025	—	`conf`	Trajectory Planning and Task Offloading for Delay and Energy Optimization in UAV Corridors. VTC2025-Spring Haoyue Liu, Suzhi Bi, Xiaoying Tang
2025	J	`jnl`	Unlocking Personalized Knowledge in Federated Large Language Model: The Power of Mixture of Experts. CoRR Fan Liu, Bikang Pan, Zhongyi Wang, Xi Yao, Xiaoying Tang, Jingya Wang, Ye Shi
2025	A*	`conf`	VTG-LLM: Integrating Timestamp Knowledge into Video LLMs for Enhanced Video Temporal Grounding. AAAI Yongxin Guo, Jingyu Liu, Mingda Li, Dingxin Cheng, Xiaoying Tang, Dianbo Sui, Qingbin Liu, Xi Chen, Kevin Zhao
2024	J	`jnl`	A Data-Driven Approach for Optimizing Early-Stage Electric Vehicle Charging Station Placement. IEEE Trans. Ind. Informatics Chenxi Sun, Tongxin Li, Xiaoying Tang
2024	—	`conf`	Bounded Rational User Behavior Analysis-based Cooperative Pricing Scheme for CSs with Single-Output Multi-Port Charging Station. SmartGridComm Chen Yang, Jie Liu, Xi Leng, Xiaoying Tang
2024	J	`jnl`	Client2Vec: Improving Federated Learning by Distribution Shifts Aware Client Indexing. CoRR Yongxin Guo, Lin Wang, Xiaoying Tang, Tao Lin
2024	J	`jnl`	Cooperative Charging Stations Management Under Irrational Hierarchy EV Behaviors. IEEE Internet Things J. Jie Liu, Shuoyao Wang, Xiaoying Tang
2024	—	`conf`	Difficult Task Yes but Simple Task No: Unveiling the Laziness in Multimodal LLMs. EMNLP (Findings) Sihang Zhao, Youliang Yuan, Xiaoying Tang, Pinjia He
2024	J	`jnl`	Difficult Task Yes but Simple Task No: Unveiling the Laziness in Multimodal LLMs. CoRR Sihang Zhao, Youliang Yuan, Xiaoying Tang, Pinjia He
2024	J	`jnl`	Dynamic Mixture of Experts: An Auto-Tuning Approach for Efficient Transformer Models. CoRR Yongxin Guo, Zhaopeng Tu, Zhenglin Cheng, Xiaoying Tang, Tao Lin
2024	J	`jnl`	FedCCRL: Federated Domain Generalization with Cross-Client Representation Learning. CoRR Xinpeng Wang, Xiaoying Tang
2024	A*	`conf`	FedLF: Layer-Wise Fair Federated Learning. AAAI Zibin Pan, Chi Li, Fangchen Yu, Shuyi Wang, Haijin Wang, Xiaoying Tang, Junhua Zhao
2024	—	`conf`	FedMABA: Towards Fair Federated Learning through Multi-Armed Bandits Allocation. ICCT Zhichao Wang, Lin Wang, Yongxin Guo, Ying-Jun Angela Zhang, Xiaoying Tang
2024	J	`jnl`	FedMABA: Towards Fair Federated Learning through Multi-Armed Bandits Allocation. CoRR Zhichao Wang, Lin Wang, Yongxin Guo, Ying-Jun Angela Zhang, Xiaoying Tang
2024	A*	`conf`	FedRC: Tackling Diverse Distribution Shifts Challenge in Federated Learning by Robust Clustering. ICML Yongxin Guo, Xiaoying Tang, Tao Lin
2024	J	`jnl`	Federated Unlearning with Gradient Descent and Conflict Mitigation. CoRR Zibin Pan, Zhichao Wang, Chi Li, Kaiyan Zheng, Boqi Wang, Xiaoying Tang, Junhua Zhao
2024	J	`jnl`	HeMiRCA: Fine-Grained Root Cause Analysis for Microservices with Heterogeneous Data Sources. ACM Trans. Softw. Eng. Methodol. Zhouruixing Zhu, Cheryl Lee, Xiaoying Tang, Pinjia He
2024	J	`jnl`	Incentive Mechanism for Federated Learning With Random Client Selection. IEEE Trans. Netw. Sci. Eng. Hongyi Wu, Xiaoying Tang, Ying-Jun Angela Zhang, Lin Gao
2024	J	`jnl`	NLPrompt: Noise-Label Prompt Learning for Vision-Language Models. CoRR Bikang Pan, Qun Li, Xiaoying Tang, Wei Huang, Zhen Fang, Feng Liu, Jingya Wang, Jingyi Yu, Ye Shi
2024	J	`jnl`	Optimal Pricing and Charging Strategy Design for Non-Cooperative Battery Swapping Stations. IEEE Trans. Mob. Comput. Huanyu Yan, Chenxi Sun, Huanxin Liao, Xiaoying Tang
2024	J	`jnl`	Save It All: Enabling Full Parameter Tuning for Federated Large Language Models via Cycle Black Gradient Descent. CoRR Lin Wang, Zhichao Wang, Xiaoying Tang
2024	J	`jnl`	Smart Sampling: Helping from Friendly Neighbors for Decentralized Federated Learning. CoRR Lin Wang, Yang Chen, Yongxin Guo, Xiaoying Tang
2024	—	`conf`	Strategic V2G Trading in Local Energy Market Considering Minimum Energy Requirement. SmartGridComm Chenxi Sun, Xiaoying Tang, Jianwei Huang
2024	J	`jnl`	TRACE: Temporal Grounding Video LLM via Causal Event Modeling. CoRR Yongxin Guo, Jingyu Liu, Mingda Li, Xiaoying Tang, Qingbin Liu, Xi Chen
2024	J	`jnl`	Understanding Generalization of Federated Learning: the Trade-off between Model Stability and Optimization. CoRR Dun Zeng, Zheshun Wu, Shiyu Liu, Yu Pan, Xiaoying Tang, Zenglin Xu
2024	J	`jnl`	VTG-LLM: Integrating Timestamp Knowledge into Video LLMs for Enhanced Video Temporal Grounding. CoRR Yongxin Guo, Jingyu Liu, Mingda Li, Xiaoying Tang, Xi Chen, Bo Zhao
2023	A*	`conf`	DELTA: Diverse Client Sampling for Fasting Federated Learning. NeurIPS Lin Wang, Yongxin Guo, Tao Lin, Xiaoying Tang
2023	J	`jnl`	Exploring Federated Optimization by Reducing Variance of Adaptive Unbiased Client Sampling. CoRR Dun Zeng, Zenglin Xu, Yu Pan, Qifan Wang, Xiaoying Tang
2023	A*	`conf`	FedBR: Improving Federated Learning on Heterogeneous Data via Local Learning Bias Reduction. ICML Yongxin Guo, Xiaoying Tang, Tao Lin
2023	J	`jnl`	FedConceptEM: Robust Federated Learning Under Diverse Distribution Shifts. CoRR Yongxin Guo, Xiaoying Tang, Tao Lin
2023	J	`jnl`	FedEBA+: Towards Fair and Effective Federated Learning via Entropy-Based Model. CoRR Lin Wang, Zhichao Wang, Xiaoying Tang
2023	A*	`conf`	FedMDFG: Federated Learning with Multi-Gradient Descent and Fair Guidance. AAAI Zibin Pan, Shuyi Wang, Chi Li, Haijin Wang, Xiaoying Tang, Junhua Zhao
2023	—	`conf`	FedRec+: Enhancing Privacy and Addressing Heterogeneity in Federated Recommendation Systems. Allerton Lin Wang, Zhichao Wang, Xi Leng, Xiaoying Tang
2023	J	`jnl`	FedRec+: Enhancing Privacy and Addressing Heterogeneity in Federated Recommendation Systems. CoRR Lin Wang, Zhichao Wang, Xi Leng, Xiaoying Tang
2023	J	`jnl`	Find Your Optimal Assignments On-the-fly: A Holistic Framework for Clustered Federated Learning. CoRR Yongxin Guo, Xiaoying Tang, Tao Lin
2023	—	`conf`	Incorporating Range Anxiety into Electric Vehicle Highway Charging Decisions: A Bayesian Game Analysis✱. e-Energy Huanyu Yan, Xiaoying Tang
2023	—	`conf`	Optimizing Pricing and Charging Strategy for Electric Taxis Considering Credit Mechanism. SmartGridComm Jiwei Zhang, Chenxi Sun, Xiaoying Tang
2023	—	`conf`	PITPS: Balancing Local and Global Profits for Multiple Charging Stations Management. SmartGridComm Jie Liu, Yongxin Guo, Xiaoying Tang
2023	A*	`conf`	RPCover: Recovering gRPC Dependency in Multilingual Projects. ASE Aoyang Fang, Ruiyu Zhou, Xiaoying Tang, Pinjia He
2023	J	`jnl`	Tackling Hybrid Heterogeneity on Federated Optimization via Gradient Diversity Maximization. CoRR Dun Zeng, Zenglin Xu, Yu Pan, Qifan Wang, Xiaoying Tang
2022	—	`conf`	A Game Approach for EV Brands' Investment Planning of Battery Swapping Stations. SmartGridComm Heyu Ren, Chenxi Sun, Xiaoying Tang
2022	J	`jnl`	A Holistic Review on Advanced Bi-directional EV Charging Control Algorithms. CoRR Xiaoying Tang, Chenxi Sun, Suzhi Bi, Shuoyao Wang, Ying-Jun Angela Zhang
2022	—	`conf`	Battery Charging Strategies Design for Battery Swapping Stations: A Game Theoretic Approach. SmartGridComm Huanyu Yan, Chenxi Sun, Huanxin Liao, Xiaoying Tang
2022	J	`jnl`	Client Selection in Nonconvex Federated Learning: Improved Convergence Analysis for Optimal Unbiased Sampling Strategy. CoRR Lin Wang, Yongxin Guo, Tao Lin, Xiaoying Tang
2022	J	`jnl`	Diversity Boosted Learning for Domain Generalization with Large Number of Domains. CoRR Xi Leng, Xiaoying Tang, Yatao Bian
2022	J	`jnl`	FedAug: Reducing the Local Learning Bias Improves Federated Learning on Heterogeneous Data. CoRR Yongxin Guo, Tao Lin, Xiaoying Tang
2022	—	`conf`	Incentive Mechanism for Federated Learning based on Random Client Sampling. GLOBECOM (Workshops) Hongyi Wu, Xiaoying Tang, Ying-Jun Angela Zhang, Lin Gao
2022	—	`conf`	Pricing and Charging Scheduling for Cooperative Electric Vehicle Charging Stations via Deep Reinforcement Learning. SmartGridComm Jie Liu, Shuoyao Wang, Xiaoying Tang
2021	J	`jnl`	Continuous Group-Wise Double Auction for Prosumers in Distribution-Level Markets. IEEE Trans. Smart Grid Ankun Yu, Xiaoying Tang, Ying Jun Zhang, Jianwei Huang
2021	—	`conf`	Data-driven Electric Vehicle Charging Station Placement for Incentivizing Potential Demand. SmartGridComm Chenxi Sun, Tongxin Li, Xiaoying Tang
2021	J	`jnl`	Online Detection of Events With Low-Quality Synchrophasor Measurements Based on $i$Forest. IEEE Trans. Ind. Informatics Tong Wu, Ying-Jun Angela Zhang, Xiaoying Tang
2021	J	`jnl`	Towards Federated Learning on Time-Evolving Heterogeneous Data. CoRR Yongxin Guo, Tao Lin, Xiaoying Tang
2019	J	`jnl`	Distributed Routing and Charging Scheduling Optimization for Internet of Electric Vehicles. IEEE Internet Things J. Xiaoying Tang, Suzhi Bi, Ying-Jun Angela Zhang
2018	—	`conf`	Isolation Forest Based Method for Low-Quality Synchrophasor Measurements and Early Events Detection. SmartGridComm Tong Wu, Ying-Jun Angela Zhang, Xiaoying Tang